All Videos Tagged AI (Data Science Central) - Data Science Central 2019-12-05T16:01:49Z https://www.datasciencecentral.com/video/video/listTagged?tag=AI&rss=yes&xn_auth=no DSC Webinar Series: Democratizing Analytics and DS for Continuous Intelligence tag:www.datasciencecentral.com,2019-09-25:6448529:Video:891378 2019-09-25T21:56:34.682Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-democratizing-analytics-and-ds-for-continuous"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3626433978?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>The infusion of AI and automation in analytics and data science is democratizing these technologies, giving more users across an organization faster access to deeper, actionable intelligence. These innovations empower business users, data analysts and data scientists, to have the best capabilities for their roles yet work collaboratively… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-democratizing-analytics-and-ds-for-continuous"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3626433978?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />The infusion of AI and automation in analytics and data science is democratizing these technologies, giving more users across an organization faster access to deeper, actionable intelligence. These innovations empower business users, data analysts and data scientists, to have the best capabilities for their roles yet work collaboratively to provide continuous intelligence for the business across strategic through operational use cases.<br /> <br /> In this latest Data Science Central webinar, you’ll learn the benefits of:<br /> <br /> Smarter AI-powered analytics<br /> Automated data wrangling workflows<br /> Embedded data science in dashboards<br /> Streaming analytics in dashboards<br /> <br /> Speaker:<br /> Bipin Singh, Sr. Director, Product Marketing - TIBCO Software, Inc.<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: Mathematical Optimization + ML: Featuring Forrester Survey Insights tag:www.datasciencecentral.com,2019-09-17:6448529:Video:888956 2019-09-17T23:25:28.960Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-mathematical-optimization-ml-featuring"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3561625819?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Mathematical optimization (AKA Mixed Integer Programming) and Machine Learning (ML) are different but complementary technologies. Simply put – Mixed Integer Programming (MIP) answers questions that ML cannot. Machine learning makes predictions while MIP makes decisions. For Data Scientists to be effective, an understanding of MIP and when to use… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-mathematical-optimization-ml-featuring"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3561625819?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Mathematical optimization (AKA Mixed Integer Programming) and Machine Learning (ML) are different but complementary technologies. Simply put – Mixed Integer Programming (MIP) answers questions that ML cannot. Machine learning makes predictions while MIP makes decisions. For Data Scientists to be effective, an understanding of MIP and when to use it is critical, as ML does not solve all problems effectively.<br /> <br /> In this latest Data Science Central webinar, you will hear the results of the 2019 Mathematical Optimization Survey commissioned by Gurobi and conducted by Forrester and insights on how Data Scientists can use tools such as MIP to make complex decisions.<br /> <br /> You’ll learn:<br /> - The latest trends in ML and Artificial Intelligence<br /> - Key findings from the Mathematical Optimization Survey<br /> - How you can use MIP in concert with ML techniques<br /> - How industries are using MIP today to efficiently use resources, often resulting in time savings and millions of dollars in cost savings<br /> <br /> All registrants will receive a copy of the 2019 Mathematical Optimization Study available in October 2019.<br /> <br /> Speakers:<br /> Mike Gualtieri, VP Principal Analyst, Application Development and Delivery Professionals - Forrester Research<br /> Edward Rothberg, CEO and Co-Founder - Gurobi Optimization<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: Making AI Work in the Real World: How Real Companies Get Real Value with AI tag:www.datasciencecentral.com,2019-07-02:6448529:Video:850987 2019-07-02T16:16:14.793Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-making-ai-work-in-the-real-world-how-real"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3181882056?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>If you’ve read your fair share of tech press, you’ve certainly been exposed to breathless forecasts about the promise and power of artificial intelligence. The thing is, a lot of those articles are light on detail or focus too heavily on algorithms and not on business value.<br></br> <br></br> In this latest Data Science Central webinar, Alyssa… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-making-ai-work-in-the-real-world-how-real"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3181882056?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />If you’ve read your fair share of tech press, you’ve certainly been exposed to breathless forecasts about the promise and power of artificial intelligence. The thing is, a lot of those articles are light on detail or focus too heavily on algorithms and not on business value.<br /> <br /> In this latest Data Science Central webinar, Alyssa Simpson Rochwerger of Figure Eight takes an industry-by-industry perspective on true AI adoption.<br /> <br /> We will cover:<br /> <br /> An approach to AI that realizes business value<br /> Real-world examples of businesses using AI to improve their bottom line<br /> Real-world use cases in e-commerce, enterprise software, robotics &amp; IoT, AgTech, and more<br /> <br /> <br /> We will separate the hype from the reality, the theoretical from the practical, and the research labs from ROI.<br /> <br /> <br /> <br /> Speaker:<br /> Alyssa Simpson Rochwerger, VP of Product - Figure Eight<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central DSC Webinar Series: Predictive Analytics: Practical Applications tag:www.datasciencecentral.com,2019-07-02:6448529:Video:851062 2019-07-02T16:12:41.976Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-predictive-analytics-practical-applications"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3181869130?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>From optimizing processes to increasing revenue and driving business growth, executives are realizing the value in artificial intelligence. However, many organizations struggle to bring the necessary people, processes, and technology stacks together.<br></br> <br></br> In this latest Data Science Central webinar, we’ll focus on the business… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-predictive-analytics-practical-applications"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3181869130?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />From optimizing processes to increasing revenue and driving business growth, executives are realizing the value in artificial intelligence. However, many organizations struggle to bring the necessary people, processes, and technology stacks together.<br /> <br /> In this latest Data Science Central webinar, we’ll focus on the business processes needed to implement AI-driven insights within an organization. We will discuss:<br /> <br /> Investments in new platforms and roles for your strategic roadmap<br /> End-to-end business-focused delivery strategy good for the whole team<br /> Facilitating change with the right tools and people<br /> Attend to hear real ROI use cases of an end-to-end AI rollout in retail and the financial services industry and some of the successes and setbacks along the way. It's time to empower everyone to solve anything.<br /> <br /> Speakers:<br /> Razvan Nistor, Chief Data Scientist - Keyrus<br /> Melissa Burroughs, Product Manager - Alteryx<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: Scale AI/ML with Data Wrangling Featuring Forrester tag:www.datasciencecentral.com,2019-06-05:6448529:Video:834537 2019-06-05T22:24:26.704Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-scale-ai-ml-with-data-wrangling-featuring"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2783842558?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>The Machine Learning Race is upon us. Every organization is seeking to outpace their competition by leveraging AI/ML to drive differentiation for their business. To win this race, companies are building up data science teams, investing in faster/more scalable cloud data platforms and utilizing the growing variety of publicly available… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-scale-ai-ml-with-data-wrangling-featuring"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2783842558?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />The Machine Learning Race is upon us. Every organization is seeking to outpace their competition by leveraging AI/ML to drive differentiation for their business. To win this race, companies are building up data science teams, investing in faster/more scalable cloud data platforms and utilizing the growing variety of publicly available algorithms and ML toolkits. Yet, organizations ramping up these initiatives soon find that their ML processes are only useful if the data that is feeding them is clean and structured for the task at hand. They quickly learn that scaling machine learning is entirely dependent upon scaling data wrangling processes.<br /> <br /> Join Forrester VP &amp; Principal Analyst, Mike Gualtieri and Trifacta Head of Platform Product Management Mahesh Gandhe for a live webinar covering organizational best practices for scaling data preparation in order to scale ML and AI initiatives.<br /> <br /> In this latest Data Science Central webinar you can expect to learn:<br /> <br /> Common data prep bottlenecks in machine learning such as data quality, feature engineering &amp; data blending<br /> How data preparation platforms improve scale, collaboration and automation of wrangling data for AI<br /> Organizational best practices and deployment scenarios for data preparation &amp; machine learning in cloud, on-premises and hybrid/multi-cloud environments<br /> <br /> Featured Speakers:<br /> Mike Gualtieri, VP &amp; Principal Analyst - Forrester<br /> Mahesh Gandhe, Head of Platform Product Management - Trifacta<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central